Population structure in Italy using ancient and modern samples

WHG is red:

X5FQhf9.jpg
 
Last edited:
i see. it's not very accurate though if we just use those 4 as direct sources for modern europeans.

However, it is interesting that samples like R850, clusters with Anatolian_ChL. I speculate ABA-like people likely existed in Italy, perhaps further south during the Bronze-Age, and certainly among the Antonio et al 2019 samples in the Iron Age. Though maybe it came through a slow process of Iran-like admixture arriving since the Neolithic. Perhaps partly related to the migration of Iran-like admixture that augmented Antolian_N-like populations which gave rise to the Minoans, and Mycenaean; but traveled further west to Italy.

I also speculate that the Italic tribes are similar to samples like R1, and mixed with samples like R850, chiefly contributing to the North-South cline in Italy. But was a process that began prior:

e1aDWHe.png
 
However, it is interesting that samples like R850, clusters with Anatolian_ChL. I speculate ABA-like people likely existed in Italy, perhaps further south during the Bronze-Age, and certainly among the Antonio et al 2019 samples in the Iron Age. Though maybe it came through a slow process of Iran-like admixture arriving since the Neolithic. Perhaps partly related to the migration of Iran-like admixture that augmented Antolian_N-like populations which gave rise to the Minoans, and Mycenaean; but traveled further west to Italy.

I also speculate that the Italic tribes are similar to samples like R1, and mixed with samples like R850, chiefly contributing to the North-South cline in Italy. But was a process that began prior:

e1aDWHe.png

if we assume those 4 were the only source populations and that south italians were minoan like then only a big migration of ABA like ancestry to south italy that replaced 50+% of the local ancestry can explain their current position on the PCA just by estimating the distances. they are almost in the same place as ABA so wouldn't that mean that they descend mostly from ABA? but it's hard to tell since the greeks were so close. south italians seem to be more ABA-like than ancient greeks though. and the steppe in myceneans pulled them towards central italy.
the people that cluster identical with ABA are probably cypriots?
 
Jovialis: Consistent with your statements in post 804, I can model "me" using 0.25X with 4 Iron Age Romans with a distance of 2.0134. So we have yourself whose ancestors are from Puglia and Mine who are from overwhelmingly from Sicily (with some link to Calabria on maternal Grandmother Father's lineage going back to early 1800's).

Target: PalermoTrapani
Distance: 2.0134% / 2.01340808 | ADC: 0.25x

57.2R437_Iron_Age_Palestrina_Selicata
24.4R850_Iron_Age_Ardea
13.4R474_Iron_Age_Civitavecchia
5.0R475_Iron_Age_Civitavecch

Dodecad K12B distances for Iron Age Romans (R435 distance in Blue is 30.24)

Distance to:PalermoTrapani
4.18976133R437_Iron_Age_Palestrina_Selicata
13.23641568R850_Iron_Age_Ardea
16.54641653R475_Iron_Age_Civitavecchia
17.40331865R1_Iron_Age_Protovillanovan_Martinsicuro
20.72008205R474_Iron_Age_Civitavecchia
23.17349132R1015_Iron_Age_Veio_Grotta_Gramiccia
23.21816315R1016_Iron_Age_Castel_di_Decima
23.78614092R473_Iron_Age_Civitavecchia
25.41911682R1021_Iron_Age_Boville_Ernica
27.54563123R851_Iron_Age_Ardea
30.24831400R435_Iron_Age_Palestrina_Colombella
 
if we assume those 4 were the only source populations and that south italians were minoan like then only a big migration of ABA like ancestry to south italy that replaced 50+% of the local ancestry can explain their current position on the PCA just by estimating the distances. they are almost in the same place as ABA so wouldn't that mean that they descend mostly from ABA? but it's hard to tell since the greeks were so close. south italians seem to be more ABA-like than ancient greeks though. and the steppe in myceneans pulled them towards central italy.
the people that cluster identical with ABA are probably cypriots?

During the Late Bronze age a large migration of ABA-like replaced over 50% of the Northern Levant's admixture. There seems there have at least been some large scale movements from this kind of ancestry.

I think Italians have been accumulating Iran-like ancestry since the since Neolithic Central Italians, can be modeled as 95% Greece_N or Central Anatolian. I think even a relatively smaller but still respectable impact could have shifted them to their current position; not necessarily 50%:

Similar to early farmers from other parts of Europe, Neolithic individuals from central Italy project near Anatolian farmers in PCA (13, 14, 1719) (Fig. 2A). However, ADMIXTURE reveals that, in addition to ancestry from northwestern Anatolia farmers, all of the Neolithic individuals that we studied carry a small amount of another component that is found at high levels in Neolithic Iranian farmers and Caucasus hunter-gatherers (CHG) (Fig. 2B and fig. S9). This contrasts with contemporaneous central European and Iberian populations who carry farmer ancestry predominantly from northwestern Anatolia (fig. S12) Furthermore, qpAdm modeling suggests that Neolithic Italian farmers can be modeled as a two-way mixture of ~5% local hunter-gatherer ancestry and ~95% ancestry of Neolithic farmers from central Anatolia or northern Greece (table S7), who also carry additional CHG (or Neolithic Iranian) ancestry (fig. S12) (14 ). These findings point to different or additional source populations involved in the Neolithic transition in Italy compared to central and western Europe.

https://science.sciencemag.org/content/366/6466/708.full​


Cypriots are not far off in terms of the PCA, but I am not sure of how well they can be modeled as ABA, or how big of a share they have.
 
Ailichu/Jovialis: Model fits using 1) Ancient Sicilian samples from Fernandes et al 2020, 2) Ancient Greeks from Lazaridis et al 2018. Those ancient Sicilian samples in Fernandes et al 2020 were analyzed and indicated that Steppe Ancestry arrived in Sicily in 2200 BC, before the Mycenean's which also had some Steppe ancestry documented. So for me fits are pretty good, but I get slightly better fit with the Ancient Sicilian Samples than the Ancient Greeks but I would think (I will go and check) that some of those Ancient Sicilian Samples are not going to be way, way off from a galaxy far far away from the Ancient Greek samples.

1) Model fit Dodecad 12B using Bronze Age Sicilian samples from Fernandes et al 2020

Target: PalermoTrapani
Distance: 6.2704% / 6.27041187 | ADC: 0.25x
39.2I4383_Sicily_EBA_lowcov_Vallone_Inferno
32.2I11443_Sicily_EBA_Buffa_Cave_II
28.6I7796_Sicily_EBA_Contrada_Paolina_Castellucciana

Model Fits using Dodecad 12B and Ancient Greek Samples from Lazaridis et al 2017 "Genetic origins of the Minoans and Mycenaeans"

Target: PalermoTrapani
Distance: 8.5519% / 8.55188147 | ADC: 0.25x
58.0I9123_Bronze_Age_Armenoi_Crete
24.4I9131_Bronze_Age_Minoan_Moni_Odigitria_Heraklion_Crete
17.6I9041_Bronze_Age_Mycenaean_Galatas_Apatheia_Peloponnese


3) Dodecad model fit using ancient Natufian, Chalcolithic_Levant, and Early_MPPNB_Ain_Ghazal_Jordan samples. Looks like the early Levant Neolithic from the AinGhazal Jordanian site can get me to 14 at best, which again shows some relationship between all Near East Populations as they all stem from some Base Western Eurasian cluster but still enough variation such that Anatolian Farmers, Levant-Neolithic, Caucus HG and Iran Neolithic were distinct genetic clusters, again all somewhat related.
Target: PalermoTrapani
Distance: 14.0635% / 14.06345771 | ADC: 0.25x
56.4I1415_AG84/2_Late_MPPNB_Ain_Ghazal_Jordan
43.6I1416_AG83/1_Early_MPPNB_Ain_Ghazal_Jordan


Need to see how well I can fit myself using CHG type ancestry or Iran-Neolithic or similar from Armenia, etc. But based on the Ancient Sicilian samples, the ancient Greek samples and the ancient Levant samples, and the Iron Age Roman samples from my post 806,

1) Iron Age Roman samples give me best fit, 2) Bronze Age Sicilians give me the next best fit, 2) Ancient Greeks give me the next, and 4) Levant-Neolithic type ancestry average at best fit. Of course, the Iron Age Roman samples are from a closer time period but still we are talking about samples from 900 BC to 300 BC period.
 
Last edited:
Ailchu/Jovialis:

Continuing on from post 806 and 808, 1) Used Chalcolithic Iran and Neolithic and Bronze Age Armenian samples from Dodecad 12B Ancient. I get similar distance as I did using Levant-Neolithic. There are no ancient Caucus samples (i.e Maykop) in Dodecad 12B. But those are going to be very heavily Steppe Herder type ancestry so not sure they will fit me well anyway.

1) Ancient Iran and Armenian samples from Dodecad 12B
Target: PalermoTrapani
Distance: 14.4336% / 14.43356185 | ADC: 0.25x

52.2I1633_KA1/14_Kura-Araxes_Early_Bronze_Age_Gegharkunik_Armenia
27.0RISE397_Kapan_Armenia_2807_years
20.8RISE416_Nerquin_Getashen_Armenia_3259_years
 
Buonaserra Salento: I have probably seen the model in the past but what is your fit using 0.25X. For me I have always gotten better fits with K13 (more source data) vs K15 and even better with Dodecad 12B.

I Don’t think that EU K13 and K15 are meant for me, and I also get higher distances than Dodecad.

eu13 Single at 0.25 and 0.5:

H5NpP7P.jpg
 
Salento: The K13 model fits are pretty good. K15 not my favorite either. Dodecad K12b gives me best model fits as well.
 
Here are mine at 0.5 for K13, K15, and Dodecad K12b. Wish we had more samples from Greece.
Demetrios-K13-ANCIENT.png
Demetrios-K15-ANCIENT.png
Demetrios-Dodecad-K12b-ANCIENT.png
 
Demetrios: Those are all good model fits for you. But I agree, we need more ancient samples from Greece for all our Greek brethren here at Eupedia. My distances in post 806 and 808 were using sub-samples, not full source samples available. But I have always had some really good distances for the Ancient Roman samples from Antonio et al 2019 which helps me get good overall model fits.

Dodecad 12B (I can get fit to 0.53 using 0.25X but there are 11 components, 3 components between 1 and 1.4, and 4 components are < 1% so 0.5X more parsimonious)

Target: PalermoTrapani
Distance: 1.0717% / 1.07167155 | ADC: 0.5x

35.4R56_Medieval_Era_Villa_Magna
33.8R52_Medieval_Era_Villa_Magna
17.2R35_Late_Antiquity_Celio
9.0R835_Imperial_Era_Civitanova_Marche
4.6I3808_SE_Iberia_c.10-16CE

Eurogenes K13 (0.25X has one less component than 0.5X which has I8215 in it, distance 1.32 so still good model fit)

Target: PalermoTrapani
Distance: 0.7512% / 0.75119401 | ADC: 0.25x

53.8SZ40_Hungary_Langobard_1442_ybp
24.2R131_Lazio_Rome_Roman_Imperial
12.0I9033_Mycenaean_1352_bc_M_
5.6R1283_Lazio_Rome_Medieval_Italy
2.2R122_Lazio_Rome_Italy_Late_Antiquity
2.2R132_Lazio_Rome_Roman_Imperial


Eurogenes K15 (While 0.25X has best fit at 1.62, it has 10 components, 3 less than 1 )

Target: PalermoTrapani
Distance: 3.6236% / 3.62362071 | ADC: 0.5x

70.6IA_Prenestina_Selicata_R437
19.4Mycenaean_I9041
4.4Canaanite_ERS1790729
3.4IA_Protovillanovan_Martinsicuro_R1
1.4France_IA_ERS88
0.8Botai_BOT15
 
Demetrios: Those are all good model fits for you. But I agree, we need more ancient samples from Greece for all our Greek brethren here at Eupedia. My distances in post 806 and 808 were using sub-samples, not full source samples available. But I have always had some really good distances for the Ancient Roman samples from Antonio et al 2019 which helps me get good overall model fits.

Dodecad 12B (I can get fit to 0.53 using 0.25X but there are 11 components, 3 components between 1 and 1.4, and 4 components are < 1% so 0.5X more parsimonious)

Target: PalermoTrapani
Distance: 1.0717% / 1.07167155 | ADC: 0.5x
35.4R56_Medieval_Era_Villa_Magna
33.8R52_Medieval_Era_Villa_Magna
17.2R35_Late_Antiquity_Celio
9.0R835_Imperial_Era_Civitanova_Marche
4.6I3808_SE_Iberia_c.10-16CE

Eurogenes K13 (0.25X has one less component than 0.5X which has I8215 in it, distance 1.32 so still good model fit)

Target: PalermoTrapani
Distance: 0.7512% / 0.75119401 | ADC: 0.25x
53.8SZ40_Hungary_Langobard_1442_ybp
24.2R131_Lazio_Rome_Roman_Imperial
12.0I9033_Mycenaean_1352_bc_M_
5.6R1283_Lazio_Rome_Medieval_Italy
2.2R122_Lazio_Rome_Italy_Late_Antiquity
2.2R132_Lazio_Rome_Roman_Imperial


Eurogenes K15 (While 0.25X has best fit at 1.62, it has 10 components, 3 less than 1 )

Target: PalermoTrapani
Distance: 3.6236% / 3.62362071 | ADC: 0.5x
70.6IA_Prenestina_Selicata_R437
19.4Mycenaean_I9041
4.4Canaanite_ERS1790729
3.4IA_Protovillanovan_Martinsicuro_R1
1.4France_IA_ERS88
0.8Botai_BOT15
Very nice, thanks for sharing.
 
Here is a link from the supplementary material of this paper for where to locate the modern Italian population samples.

They are in bed, bim, and fam, format. Does anyone know how to convert them to BAM, or raw data txt. file format?

https://capelligroup.wordpress.com/data/

https://www.dropbox.com/s/i3xpko28yiq50l4/Raveane_Aneli_Montinaro_SciAdv.zip?dl=0

I would like to create coordinates for each of them to using in gedmatch calculators.
… got it ….

Code:
Alp090_Abruzzo,6.69,0,3.58,0,30.19,16.26,0.10,0,11.63,0,31.57,0
Alp140_Abruzzo,8.98,0,3.12,0,28.13,17.65,0,0.31,11.18,0,30.64,0
ALP161_Abruzzo,6.41,0,1.44,0,30.32,19.51,0,0.22,10.75,0.24,31.01,0.11
Alp162_Abruzzo,7.51,0,0.94,0.19,28.60,17.33,1.26,0,13.22,0,30.60,0.34
ALP205_Abruzzo,6.36,0.17,2.26,0,27.71,15.44,0,0.55,12.57,0,34.86,0.07
Alp380_Abruzzo,8.30,0,1.69,0,30.67,14.58,0.47,0.06,12.53,0,31.44,0.27
Alp503_Abruzzo,9.66,0,2.68,0.05,29.99,14.21,0,0.19,10.83,0,32.39,0
Alp616_Abruzzo,7.89,0,1.28,0,29.09,16.96,0,0.71,10.92,0,33.15,0
AL9_Albanian,5.26,0,2.47,0.71,29.56,24.40,0,0.08,7.74,0,27.78,1.99
AL12_Albanian,4.45,0.91,0.08,0,33.95,23.40,0,0,7.39,0.02,29.81,0
AL17_Albanian,5.38,0,1.12,0,30.35,22.13,0.88,0,9.59,0,30.54,0
AL29_Albanian,4.54,1.26,2.31,0.12,29.18,21.93,0,0.27,9.86,0,30.53,0
AL82_Albanian,5.30,0.23,0.73,0.46,27.08,27.71,0.23,0.14,7.14,0.14,30.84,0
AL98_Albanian,6.43,1.04,1.58,0,26.80,22.39,0.29,0,8.69,0.21,31.63,0.94
ALP225_Aosta-Valley,6.87,0.27,1.13,0,37.44,30.93,0.24,0,3.30,0,19.83,0
ALP227_Aosta-Valley,5.37,0.04,0.99,0,38.11,32.94,0,0.11,3.91,0,18.53,0
ALP379_Apulia,5.72,0,3.90,0,28.18,15.53,0.67,0,11.69,0.17,34.13,0.01
ALP583_Apulia,8.10,0,3.61,0,27.70,15.00,0.82,0.30,10.01,0,34.43,0.04
cera1_Apulia,7.91,0,5.44,0,29.16,15.42,0,0,10.25,0,31.76,0.05
cera2_Apulia,7.80,0,2.79,0,30.50,15.34,0,0,10.15,0,33.37,0.05
cera8_Apulia,6.06,0,3.14,0.70,29.98,15.74,0,0.10,10.47,0.14,33.35,0.32
cera9_Apulia,5.36,0,3.54,0,31.06,16.26,0.36,0,10.87,0,32.56,0
GS32_Apulia,7.03,0.70,2.10,0,29.17,14.00,0.41,0.25,10.95,0,35.38,0
GS34_Apulia,6.15,0.62,2.80,0,28.01,16.49,0,0.12,13.62,0.13,32.06,0
GS47_Apulia,5.92,0,2.56,0,27.84,14.32,0,0.27,12.35,0.63,36.11,0
Pu2_Apulia,5.84,0,2.93,0,26.59,17.67,0,0.71,12.28,0,33.99,0
Pu3_Apulia,6.03,0,1.87,0,26.47,14.41,0,0.09,13.66,0,37.47,0
Pu7_Apulia,7.79,0,3.12,0,27.68,12.85,0,0.19,11.83,0,36.54,0
Pu8_Apulia,6.95,0,6.23,0.02,25.75,11.41,0,0.45,14.01,0.76,34.43,0
Pu45_Apulia,7.53,0.05,2.22,0.39,29.68,15.35,0,0.40,10.10,0,34.28,0
PG16_Basilicata,7.16,0.47,4.11,0.25,27.15,12.87,0.34,0.60,11.52,0.36,35.16,0
PG17_Basilicata,8.95,0,1.39,0,29.77,14.55,0,0,12.92,0,32.25,0.16
PG18_Basilicata,6.66,0,2.84,0.02,27.29,16.11,0,0,13.23,0.74,33.04,0.06
PG19_Basilicata,6.05,0,2.34,0,28.94,15.65,0,1.07,13.30,0,32.65,0
PG20_Basilicata,6.11,0,3.11,0,27.89,14.45,0.06,0,12.27,0,36.11,0
PG21_Basilicata,7.28,0,3.97,0,26.27,17.49,1.27,0.28,12.37,0.28,30.79,0
PG22_Basilicata,7.19,0,3.44,0,25.84,16.55,0,0,9.57,0,37.42,0
PG24_Basilicata,7.33,0.09,4.22,1.09,28.61,14.27,0,0.83,12.06,0,31.50,0
PG25_Basilicata,6.69,0.27,2.65,0.38,28.09,14.21,0.26,0.40,12.13,0.46,34.45,0
ALP582_Calabria,6.25,0,3.73,0.03,27.11,10.05,0.99,0,13.80,1.01,36.24,0.79
ALP596_Calabria,6.33,0,3.91,0,27.04,13.26,0,0.64,13.48,0,35.33,0
NaN43TC_Campania,5.55,0,3.35,0.40,30.13,14.02,0,0.50,12.39,0,33.66,0
NaN46TC_Campania,6.39,0,2.56,0,29.12,13.31,0.46,0,14.30,0,33.51,0.34
NaN58AC_Campania,10.21,0.49,3.75,0,28.63,12.20,0.90,0.04,12.10,0.03,31.66,0
NaN65DFG_Campania,8.00,0,4.30,0.03,27.55,10.62,0.47,0.12,13.44,0.51,34.95,0
NaN77FAM_Campania,6.20,0,3.00,0.36,26.45,12.15,0.43,0.86,13.24,0.25,37.04,0
NaN119AMR_Campania,6.33,0,3.12,0,27.98,15.23,0,0.79,13.71,0.40,32.44,0
NaN128LA_Campania,7.42,0,3.69,0,29.35,12.81,0,0,12.42,0,34.31,0
NaN195ST_Campania,7.21,0,4.57,0.68,30.71,10.79,0,0.07,10.77,0.16,34.89,0.15
NaN207MM_Campania,7.08,0,3.16,0,26.85,14.76,0,0,14.32,0,33.60,0.22
NaN212CR_Campania,6.82,0,2.61,0,30.35,14.95,0.28,0.35,12.19,0,32.45,0
NaN238DM_Campania,7.03,0,1.59,0,29.82,15.65,0,0,11.91,0.14,33.86,0
NaN275IS_Campania,7.93,0.39,3.73,0,25.40,11.31,0,0.18,14.81,0,36.08,0.17
NaN289RM_Campania,6.45,0,2.51,1.17,28.02,14.99,0,0.55,10.85,0,35.45,0
NaN293SF_Campania,8.28,0.11,1.74,0,29.38,13.62,0.42,0,12.80,0,33.37,0.28
ALP081_Friuli-Venezia-Giulia,4.34,0.84,2.33,0,36.22,29.46,0.26,0.04,5.34,0,21.18,0
ALP093_Friuli-Venezia-Giulia,6.43,0.41,0.05,0,33.92,32.71,0,0.07,5.38,0,21.03,0
ALP188_Friuli-Venezia-Giulia,4.99,0.74,0.01,0,26.21,47.57,0,0,3.72,0.76,16.00,0
ALP220_Friuli-Venezia-Giulia,5.39,0,0,0.17,34.02,36.20,0,0,6.01,0,18.14,0.05
ALP233_Friuli-Venezia-Giulia,4.08,0,0,0,34.26,30.43,0.52,0,6.58,0.50,23.63,0
ALP235_Friuli-Venezia-Giulia,5.64,0.57,1.23,0.01,35.63,28.80,0.84,0,5.51,0,21.76,0
ALP346_Friuli-Venezia-Giulia,6.20,0.81,0.77,0,34.42,29.93,0,0,6.17,0.18,21.52,0
ALP354_Friuli-Venezia-Giulia,5.56,0.50,0.39,0,37.04,29.93,0,0,6.12,0,20.32,0.14
ALP259_Friuli-Venezia-Giulia,3.03,0,1.50,0,39.87,28.48,0,0,5.82,0,21.30,0
ALP280_Friuli-Venezia-Giulia,5.74,0,0.56,0,37.35,28.82,0.30,0,4.85,0,22.40,0
ALP435_Friuli-Venezia-Giulia,5.42,0.70,0.01,0,31.91,35.91,0,0.24,6.52,0,19.29,0
ALP506_Friuli-Venezia-Giulia,3.59,0.13,0.92,0,36.19,30.55,0,0,5.31,0.19,23.12,0
KF1800761_Friuli-Venezia-Giulia,4.15,0.03,1.60,0.62,35.36,29.80,0,0.10,6.99,0,21.35,0
KF1803129_Friuli-Venezia-Giulia,3.70,0,1.39,0,35.87,31.44,0,0,5.88,0.31,21.41,0
KF2700922_Friuli-Venezia-Giulia,4.76,0.29,0.58,0.30,32.64,33.31,0.22,0,6.10,0,21.79,0.02
KF2700960_Friuli-Venezia-Giulia,6.04,0.50,1.49,0,35.21,30.23,0,0,6.36,0.30,19.88,0
NOR24_Lazio,7.94,0,1.16,0,33.01,15.72,0,0.08,10.15,0,31.94,0
NOR28_Lazio,8.17,0.11,2.62,0.22,31.46,15.60,0,0,11.20,0,30.62,0
PG28_Lazio,4.14,0,2.92,0,34.41,18.64,0,0,11.40,0,28.49,0
PG30_Lazio,6.88,0,2.01,0,32.07,18.84,0,0.19,11.81,0.04,28.16,0
ALP099_Liguria,5.13,0,2.43,0,36.41,24.40,0.65,0.05,6.88,0.51,23.32,0.22
ALP288_Lombrardy,6.04,0.79,1.67,0,36.54,24.68,0,0.23,7.79,0,22.27,0
BGD28_Lombrardy,6.14,0,1.99,0.13,40.22,23.5,0,0,6.74,0.27,21.03,0
BGD31_Lombrardy,3.7,0,2.07,0,40.09,22.45,0,0,6.06,0.64,24.99,0
BGD103_Lombrardy,3.81,0.41,0,0,38.8,25.35,0.64,0,7.31,0,23.67,0
BGD301_Lombrardy,4.99,0,1.58,0,41.82,21.45,0,0,6.79,0.49,22.9,0
MarABG010D_Marche,6.05,0,3.02,0.18,32.69,19.66,0.12,0.25,10.45,0,27.57,0
MarABI020D_Marche,7.25,0,3.21,0,33.85,17.74,0,0.10,8.68,0,28.86,0.32
MarABN020D_Marche,7.08,0.73,1.75,0.22,31.78,18.77,0,0,10.49,0,29.18,0
MarABP050D_Marche,7.43,0,2.35,0,32.72,17.90,0,0.21,9.80,0.20,29.41,0
MarABQ080D_Marche,6.21,0.17,1.89,0,32.81,19.04,0,0,10.96,0.12,28.79,0
MarABU050D_Marche,7.29,0,1.62,0,33.47,21.39,0,0,9.14,1.17,25.92,0
MarABY030D_Marche,6.75,0,3.69,0,29.95,18.59,0,0.23,11.27,0,29.52,0
MarACO100D_Marche,6.86,0,2.00,0,30.72,17.68,0,0,12.10,0.08,30.56,0
MarACV100D_Marche,7.26,0,1.62,0,31.47,21.05,0.39,0,10.41,0.48,27.31,0
MarACW030D_Marche,6.82,0,3.04,0,33.76,20.81,0,0,8.63,0,26.94,0
MarACW080D_Marche,9.16,0.87,0.94,0,31.17,19.68,0,0,9.61,0,28.58,0
MarACY030D_Marche,6.26,0,2.36,0.35,31.64,18.52,0.43,0,10.01,0,30.43,0
MarADC050D_Marche,4.77,0,1.93,0,33.54,20.62,0.11,0,7.86,0,31.17,0
MarADG030D_Marche,6.69,0,2.77,0,31.83,21.00,0.02,0,10.04,0.11,27.55,0
PG26_Molise,7.76,0,2.20,0,29.91,16.67,0,0.57,10.84,0,32.01,0.04
PG27_Molise,6.36,0.05,1.15,0.55,29.66,17.90,0,0,10.92,0.28,32.78,0.33
ALP070_Trentino-Alto-Adige,5.23,0.08,0.80,0,38.53,31.31,0,0,5.23,0.41,18.42,0
ALP071_Trentino-Alto-Adige,4.72,0,0.88,0,37.95,33.21,0,0,4.51,0.47,18.18,0.09
ALP114_Trentino-Alto-Adige,5.13,0.56,1.16,0,38.67,21.62,0,0,7.86,0,25,0
ALP200_Trentino-Alto-Adige,5.96,0,0.65,0,35.41,26.93,0.24,0,7.64,0.25,22.93,0
ALP395_Trentino-Alto-Adige,4.20,0,0.07,0,38.17,29.09,0.83,0,5.00,0,22.64,0
ALP414_Trentino-Alto-Adige,4.90,1.04,0.99,0,29.11,46.33,0.19,0,3.54,0,13.91,0
ALP420_Trentino-Alto-Adige,5.76,0,0.48,0,39.10,28.16,0.12,0,6.97,0.13,19.29,0
MURLO114_Tuscany,5.80,0,3.27,0,34.81,20.54,1.23,0,8.47,0.02,25.86,0
VO59_Tuscany,7.52,0,0.82,0.28,35.01,21.98,0,0,9.50,0,24.88,0
VO65_Tuscany,3.64,0,2.60,0.17,35.94,21.03,0,0.20,8.37,0,28.06,0
VO109_Tuscany,3.75,0.22,2.79,0,32.67,21.45,0.79,0,10.67,0,27.56,0.09
PG03_Umbria,5.94,0,2.12,0,32.67,17.12,0.56,0.20,11.11,0.02,30.25,0
PG04_Umbria,6.34,0.25,2.53,0,30.64,20.66,0,0,9.10,0,30.47,0
PG06_Umbria,8.95,0.13,1.08,0.52,30.94,17.60,0.02,0,8.80,0,31.89,0.06
PG07_Umbria,7.81,0.34,3.48,0,32.31,17.63,0,0,10.47,0,27.96,0
PG08_Umbria,5.00,0,2.37,0.43,35.24,21.61,0.48,0,7.69,0.03,27.15,0
PG11_Umbria,7.93,0.01,2.36,0,33.05,19.77,0,0,8.56,0,28.32,0
PG12_Umbria,8.62,0.02,1.77,0.07,34.90,20.05,0,0,7.63,0.04,26.90,0
PG15_Umbria,7.94,0,2.72,0,32.52,16.83,0.67,0,10.33,0,28.99,0
ALP022_Veneto,6.59,0,0.49,0,36.53,27.87,0,0,7.34,0,21.18,0
ALP040_Veneto,5.15,0,1.04,0,41.60,25.12,0,0,3.85,0,23.24,0
Alp100_Veneto,4.58,0.41,0.87,0.93,39.09,28.70,0,0,7.01,0.28,18.13,0
ALP116_Veneto,5.45,0.19,2.34,0,36.99,24.61,0,0,7.69,0,22.73,0
ALP209_Veneto,4.85,0,2.14,0,34.32,25.27,0,0,7.89,0,25.49,0.04
ALP249_Veneto,5.45,0,2.23,0,35.92,27.84,0.14,0,5.44,0,22.98,0
ALP250_Veneto,4.19,0.15,0.96,0.11,37.49,30.40,0.47,0,6.61,0.02,19.60,0
ALP273_Veneto,4.14,0.12,0.71,0,35.42,29.00,0.35,0,7.02,0,23.07,0.16
ALP322_Veneto,3.54,0,1.12,0,35.56,30.22,0.15,0,5.64,0,23.77,0
ALP378_Veneto,5.59,0.04,0.53,0,35.23,29.58,0.40,0,4.93,0,23.71,0
Alp401_Veneto,5.76,0,0.27,0.72,39.59,27.28,0,0,5.84,0,20.49,0.04
KF1800751_Veneto,4.56,0,0.81,0,38.52,26.88,0,0.05,7.07,0,22.11,0
KF1800772_Veneto,5.25,0,1.04,0,38.57,25.21,0.67,0,5.09,0,24.17,0
KF1803105_Veneto,4.62,0,1.32,0.04,37.25,29.44,0,0.07,5.73,0,21.53,0
KF1803109_Veneto,4.97,0.48,2.18,0,36.60,25.47,0,0,8.09,0,22.22,0
KF1803151_Veneto,7.23,0,0,1.06,36.73,29.47,0.05,0,6.47,0,18.99,0
 
Last edited:
Salento/Jovialis:

I might have missed it but what paper are those samples that Salento produced coordinates for in post #811. Are they from all 6 in the link from Jovialis post? Salento, BTW, thanks for those coordinates. My first pass at them (top 25)

Distance to:PalermoTrapani_ANCESTRY
2.29802089NaN212CR_Campania
2.34757322PG24_Basilicata
2.76515822NaN43TC_Campania
2.88128444Alp380_Abruzzo
3.07784015Alp090_Abruzzo
3.34148171NaN128LA_Campania
3.38487814NaN46TC_Campania
3.38625161NOR28_Lazio
3.46723233NaN293SF_Campania
3.53749912PG19_Basilicata
3.57910603PG17_Basilicata
3.58319690NaN119AMR_Campania
3.81167942Alp503_Abruzzo
3.93417081cera8_Apulia
3.96143913cera9_Apulia
4.00804192cera1_Apulia
4.01978855cera2_Apulia
4.13014528NaN238DM_Campania
4.21352584PG25_Basilicata
4.23049642PG26_Molise
4.28063079NaN58AC_Campania
4.32399121GS34_Apulia
4.52071897ALP379_Apulia
4.69476304PG18_Basilicata
4.70507173Pu45_Apulia
 
Distance to: Torziok12b
1.63711731 ALP022_Veneto
2.08712721 ALP235_Friuli-Venezia-Giulia
2.80196360 ALP249_Veneto
2.82104591 KF2700960_Friuli-Venezia-Giulia
2.84116173 ALP346_Friuli-Venezia-Giulia
3.05674664 ALP200_Trentino-Alto-Adige
3.09166622 ALP354_Friuli-Venezia-Giulia
3.11242671 ALP280_Friuli-Venezia-Giulia
3.25023076 KF1803151_Veneto
3.28800852 KF1803105_Veneto
3.42483576 ALP081_Friuli-Venezia-Giulia
3.61798286 KF1800761_Friuli-Venezia-Giulia
3.89629311 ALP378_Veneto
3.92330218 ALP273_Veneto
4.13805510 ALP420_Trentino-Alto-Adige
4.16438471 KF1803109_Veneto
4.19916658 KF1800751_Veneto
4.21149617 ALP288_Lombrardy
4.36495132 ALP250_Veneto
4.37962327 Alp401_Veneto
4.60943597 ALP225_Aosta-Valley
4.63782277 ALP395_Trentino-Alto-Adige
4.66079392 ALP116_Veneto
4.85242208 KF1803129_Friuli-Venezia-Giulia
4.92197115 ALP099_Liguria



Target: Torziok12b
Distance: 0.4478% / 0.44777121
35.4 ALP225_Aosta-Valley
29.2 ALP420_Trentino-Alto-Adige
15.0 NaN58AC_Campania
9.3 KF1803151_Veneto
7.8 ALP414_Trentino-Alto-Adige
3.3 MURLO114_Tuscany
 
my father numbers

Distance to: Ponsan_K12b
2.04137209 KF1800761_Friuli-Venezia-Giulia
2.17639610 KF2700960_Friuli-Venezia-Giulia
2.19034244 ALP250_Veneto
2.25153281 ALP354_Friuli-Venezia-Giulia
2.64340689 KF1803105_Veneto
2.70848666 ALP235_Friuli-Venezia-Giulia
2.73808327 ALP081_Friuli-Venezia-Giulia
2.82092184 ALP022_Veneto
3.14057320 ALP346_Friuli-Venezia-Giulia
3.22077630 KF1803151_Veneto
3.30548030 KF1803129_Friuli-Venezia-Giulia
3.36611052 ALP273_Veneto
3.64498285 ALP420_Trentino-Alto-Adige
3.86326287 Alp100_Veneto
3.87063302 ALP280_Friuli-Venezia-Giulia
3.98472082 ALP249_Veneto
4.09752364 ALP200_Trentino-Alto-Adige
4.20815874 KF1800751_Veneto
4.22960991 ALP506_Friuli-Venezia-Giulia
4.25717042 ALP070_Trentino-Alto-Adige
4.32677709 ALP395_Trentino-Alto-Adige
4.52066367 ALP322_Veneto
4.58528080 ALP233_Friuli-Venezia-Giulia
4.59798869 ALP378_Veneto
4.63966594 Alp401_Veneto


Target: Ponsan_K12b
Distance: 0.5603% / 0.56031111
36.5 ALP250_Veneto
27.0 Alp100_Veneto
11.7 MURLO114_Tuscany
10.4 ALP414_Trentino-Alto-Adige
6.1 ALP420_Trentino-Alto-Adige
3.9 PG21_Basilicata
3.7 Alp162_Abruzzo
0.7 KF1803151_Veneto
 
@PT …yes, these are the samples of Jovialis link and this thread: “Population structure of modern-day Italians reveals patterns of ancient and archaic ancestries in Southern Europe”. The samples are the modern-day Italians.


Target: Salento
Distance: 0.3180% / 0.31803339
57.7Pu3_Apulia
23.3Pu2_Apulia
8.1VO109_Tuscany
5.1ALP379_Apulia
3.8ALP188_Friuli-Venezia-Giulia
2.0PG20_Basilicata

Distance to:Salento
1.52384382Pu2_Apulia
2.02150934ALP205_Abruzzo
2.58338925PG18_Basilicata
2.83665296ALP379_Apulia
3.18932595PG20_Basilicata
3.25306010GS47_Apulia
3.32890372GS34_Apulia


I guess GS is Grecìa Salentina, ... I Think :)
 

This thread has been viewed 326312 times.

Back
Top